CN112388391B

CN112388391B - Method for replacing turning tool

Info

Publication number: CN112388391B
Application number: CN202011237820.4A
Authority: CN
Inventors: 张�杰
Original assignee: Shanghai Shengzhiyao Intelligent Technology Co ltd
Current assignee: Shanghai Shengzhiyao Intelligent Technology Co ltd
Priority date: 2020-11-09
Filing date: 2020-11-09
Publication date: 2022-08-23
Anticipated expiration: 2040-11-09
Also published as: CN112388391A

Abstract

The invention discloses a method for replacing a turning tool, which comprises the following steps: extracting at least one visual angle image of a test turning tool; obtaining a replacement coefficient of each wear part of the tested surface of the test turning tool according to the view angle image; and generating a replacement prompt corresponding to the test turning tool based on that the maximum value of the replacement coefficient is greater than a replacement threshold, wherein the turning tool replacement method can detect the worn part (pit) on the surface of the turning tool through a plurality of viewing angles, obtain the replacement coefficient corresponding to each worn part through the wear coefficient of each worn part at each viewing angle, and generate the replacement prompt corresponding to the test turning tool when the maximum value of the plurality of replacement coefficients is greater than the replacement threshold, so that the test turning tool is automatically replaced in response to the replacement prompt.

Description

Method for replacing turning tool

Technical Field

The invention relates to the technology in the field of machinery, in particular to a turning tool replacement method.

Background

The tool is known as a "tooth" in the machine manufacturing industry. The intelligent recognition of the wear state of the cutter can not only reasonably select the type of the cutter and optimize the relevant parameters of the cutter, but also determine the time for replacing the cutter according to the actual cutting state of the cutter and the quality of a processed workpiece, thereby having important significance for improving the product quality in the mechanical manufacturing industry.

The abrasion of the cutter is a necessary phenomenon in the machining process, when the cutter is abraded to a certain degree, the machining quality of a product is reduced sharply, the normal operation of a machining system is influenced in serious conditions, and even a workpiece is scrapped. In the traditional machining process, workers generally judge the abrasion degree of the cutter according to noise generated during cutting machining or the quality of a machined surface of a workpiece, but interference factors are more in the judging process, the interference factors are related to the working experience of the workers, and the judging result is often inaccurate. In order to ensure the processing quality of products, the abrasion of a cutter in the processing process is imperatively detected.

Disclosure of Invention

The invention provides a turning tool replacement method aiming at the defects in the prior art, which can detect the wear parts (pits) on the surface of the turning tool through a plurality of visual angles, obtain the replacement coefficient corresponding to each wear part through the wear coefficient of each wear part at each visual angle, and generate a replacement prompt corresponding to a tested turning tool when the maximum value of a plurality of replacement coefficients is greater than a replacement threshold value, so that the tested turning tool can be automatically replaced by automatically responding to the replacement prompt.

According to one aspect of the present invention, there is provided a turning tool replacement method comprising the steps of:

extracting at least one visual angle image of a test turning tool;

obtaining a replacement coefficient of each wear part of the tested surface of the test turning tool according to the view angle image;

and generating a replacement prompt corresponding to the test turning tool based on the fact that the maximum value of the replacement coefficient is larger than a replacement threshold value.

Preferably, the perspective images include a first perspective image and a second perspective image, wherein the first perspective image is obtained by a first image extraction device along a first direction, the second perspective image is obtained by a second image extraction device along a second direction, and the first direction are symmetrical about a baseline perpendicular to the measured surface.

Preferably, the obtaining of the replacement factor for each wear part of the tested surface of the test turning tool from the perspective image comprises:

obtaining a first wear coefficient of each wear part according to the first perspective image;

obtaining a second abrasion coefficient of each abrasion part according to the second visual angle image;

obtaining the replacement coefficient corresponding to each of the wear portions from the first wear coefficient, a first viewing angle weight coefficient corresponding to the first wear coefficient, the second wear coefficient, and a second viewing angle weight coefficient corresponding to the second wear coefficient.

Preferably, the obtaining of the first wear coefficient of each of the wear parts from the first perspective image includes:

performing image preprocessing on the first view image to obtain a first binary image corresponding to the first view image;

extracting a contour according to the first binary image to obtain a first calculated wear contour rectangle corresponding to the first contour of each wear part;

obtaining the first wear coefficient of each of the wear portions based on an area and a length of the first calculated outline rectangle of each of the wear portions.

Preferably, the obtaining of the second wear coefficient of each of the wear parts from the second perspective image includes:

performing image preprocessing on the second view angle image to obtain a second binary image corresponding to the second view angle image;

extracting the outline according to the second binary image to obtain a second calculated abrasion outline rectangle corresponding to the second outline of each abrasion part;

obtaining the second wear coefficient of each of the wear portions based on an area and a length of the second calculated outline rectangle of each of the wear portions.

Preferably, a ratio of the first view weight coefficient to the second view weight coefficient is equal to a ratio of a first depth value corresponding to the first view image and a second depth value corresponding to the second view image.

Preferably, the first depth value is a maximum depth value of each of the wear parts in a first direction;

the second depth value is a maximum of a depth of each of the worn portions in the second direction.

Preferably, the first wear coefficient is a product of an area and a length of the first calculated outline rectangle.

Preferably, the image preprocessing the first perspective image to obtain a first binary image corresponding to the first perspective image includes:

converting the first visual angle image into a first gray scale image;

and carrying out binarization on the filtered first gray level image to generate the first binary image.

Preferably, the image preprocessing the second perspective image to obtain a second binary image corresponding to the second perspective image includes:

converting the second visual angle image into a second gray image;

and carrying out binarization on the filtered second gray level image to generate a second binary image.

The beneficial effects of the above technical scheme are:

the turning tool replacement method can detect the wear parts (pits) on the surface of the turning tool through multiple viewing angles, obtains the replacement coefficient corresponding to each wear part through the wear coefficient of each wear part at each viewing angle, and generates a replacement prompt corresponding to a tested turning tool when the maximum value of the multiple replacement coefficients is larger than a replacement threshold value, so that the tested turning tool is automatically replaced in response to the replacement prompt.

Further features and advantages of the invention, as well as the structure and operation of various embodiments of the invention, are described in detail below with reference to the accompanying drawings. It should be noted that the present invention is not limited to the specific embodiments described herein. These examples are given herein for illustrative purposes only.

Drawings

Other features, objects and advantages of the present invention will become more apparent upon reading of the detailed description of non-limiting embodiments thereof, with reference to the following drawings.

FIG. 1 is a schematic diagram of an implementation scenario of the present invention;

FIG. 2 is a schematic view taken along AA' in FIG. 1;

FIG. 3 is a schematic flow chart of a turning tool replacement method according to the present invention;

FIG. 4 is a schematic diagram of a process for obtaining a substitution coefficient according to the present invention;

FIG. 5 is a schematic view of a first wear coefficient acquisition process;

FIG. 6 is a first perspective image;

FIG. 7 is a second perspective image;

FIG. 8 is a schematic diagram illustrating a first binary image acquisition process;

FIG. 9 is a schematic view of a second wear coefficient acquisition process;

fig. 10 is a schematic diagram of a second binary image acquisition flow.

List of reference numerals:

10 implementation scenarios

11 first camera

12 second camera

13 test turning tool

14 first wearing part

15 second wear part

21 first direction

22 second direction

23 first depth

24 second depth

31 first perspective image

311 first contour

312 first calculated wear profile rectangle

32 second perspective image

321 second contour

322 second calculated wear profile rectangle

The features and advantages of the present invention will become more apparent from the following detailed description taken in conjunction with the accompanying drawings. Throughout the drawings, like reference numerals designate corresponding elements. In the drawings, like reference numbers generally indicate identical, functionally similar, and/or structurally similar elements.

Detailed Description

The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without inventive effort based on the embodiments of the present invention, are within the scope of protection of the present invention.

As used in this application, the terms "first," "second," and the like do not denote any order, quantity, or importance, but rather are used to distinguish one element from another. The word "comprising" or "comprises", and the like, means that the element or item listed before the word covers the element or item listed after the word and its equivalents, but does not exclude other elements or items. The terms "connected" or "coupled" and the like are not restricted to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "upper", "lower", "left", "right", and the like are used merely to indicate relative positional relationships, and when the absolute position of the object being described is changed, the relative positional relationships may also be changed accordingly.

It should be noted that the embodiments and features of the embodiments may be combined with each other without conflict.

The invention is further described with reference to the following drawings and specific examples, which are not intended to be limiting.

According to one aspect of the present invention, a turning tool replacement method is provided.

Fig. 1 is a schematic diagram of an implementation scenario of the present invention. Fig. 1 shows an implementation scenario 10 of the turning tool replacement method, fig. 1 shows a test turning tool 12, on the surface of which test turning tool 12 there is a first wear part 14 and a second wear part 15. The two sides of the test turning tool 12 are respectively provided with a first camera 11 and a second camera 12, the first camera 11 shoots along a first direction 21, the second camera 12 shoots along a second direction 22, a distance measuring device is arranged in the first camera 11, a distance measuring device is also arranged in the second camera 12, and the first camera 11 and the second camera 12 can detect the depth of the first wearing part 14 and the second wearing part 15 along the direction thereof through the distance measuring devices.

FIG. 2 is a schematic view of the cross section along AA' in FIG. 1. As shown in fig. 2, the first camera 11 may measure a first depth 23 of the first worn portion 14 along the first direction 21 with a value of the first depth 23, and the second camera 12 may measure a second depth 24 of the second worn portion 15 along the second direction 22 with a value of the second depth 24. Likewise, the second camera 12 may measure a first depth 23 of the second wear portion 15 along the first direction 21, and the second camera 12 may measure a second depth 24 of the second wear portion 15 along the second direction 22. In practice, the test turning tool 12 surface does not have only two wear portions, but rather a plurality of wear portions, only two being exemplified in this embodiment.

Fig. 3 is a schematic flow chart of a turning tool replacement method according to the present invention. The method for changing a turning tool shown in fig. 3 is used in the embodiment 10 shown in fig. 2 and 1, and comprises the following steps: step S101, step S102, and step S103. Step S101, at least one view image of a test turning tool 12 is extracted. Step S102, a replacement coefficient of each worn portion of the measured surface of the test turning tool 12 is obtained from the perspective image. Step S103, based on the maximum value of the replacement coefficient being greater than a replacement threshold, generating a replacement prompt corresponding to the test turning tool 12.

The perspective images include a first perspective image 31 and a second perspective image 32, wherein the first perspective image 31 is obtained by a first image extraction device along the first direction 21, the second perspective image 32 is obtained by a second image extraction device along the second direction 22, and the first direction 21 are symmetrical about a baseline perpendicular to the measured surface. The baseline is the dashed line shown in fig. 2 perpendicular to the surface of the test turning tool 12 and is centered on the corresponding wear portion.

Fig. 4 is a schematic diagram of a replacement coefficient obtaining process. Referring to fig. 4, step S102 includes the steps of: step S201, step S202, and step S203. In step S201, a first wear coefficient of each wear portion is obtained from the first perspective image 31. In step S202, a second wear coefficient of each wear portion is obtained from the second perspective image 32. In step S203, a replacement coefficient corresponding to each wear portion is obtained according to the first wear coefficient, the first viewing angle weight coefficient corresponding to the first wear coefficient, the second wear coefficient, and the second viewing angle weight coefficient corresponding to the second wear coefficient. The ratio of the first view weight coefficient to the second view weight coefficient is equal to the ratio of the first depth value corresponding to the first view image 31 to the second depth value corresponding to the second view image 32. The first depth value is the maximum depth value of each wear part along the first direction 21; the second depth value is the maximum depth per worn section in the second direction 22. For example, if the first depth value is 4 and the second depth value is 5, the first view weight coefficient is 0.4 and the second view weight coefficient is 0.5. The sum of the product of the first abrasion coefficient and the first visual angle weight coefficient and the product of the second abrasion coefficient and the second visual angle weight coefficient is the replacement coefficient. The first wear coefficient is 25 and the second wear coefficient is 12, the replacement coefficient is 16.

Fig. 5 is a schematic diagram of a first wear coefficient acquisition process. Fig. 6 is a first perspective image 31. Fig. 7 is a second perspective image 32. Referring to fig. 5, step S201 specifically includes step S301, step S302, and step S303. In step S301, image preprocessing is performed on the first perspective image 31 to obtain a first binary image corresponding to the first perspective image 31. In step S302, contour extraction is performed according to the first binary image to obtain a first calculated wear contour rectangle 312 corresponding to the first contour 311 of each wear portion. In step S303, a first wear coefficient of each wear portion is obtained based on the area and length of the first calculation outline rectangle of each wear portion. Referring to fig. 5 and 6, the first perspective image 31 shown in fig. 6 may be obtained by the first camera 11, the first outline 311 of the first worn portion 14 and the second worn portion 15 is obtained after image preprocessing and image binarization are performed on the first perspective image 31, and a first calculated outline rectangle is obtained from each of the first outlines 311, and fig. 6 is a combination of the first outline 311 and the first perspective image 31. A first wear coefficient of each wear part can be obtained from the first calculated outline rectangle of the first wear part 14 and the second wear part 15, i.e., the product of the area and the length of the first calculated outline rectangle.

Fig. 8 is a schematic diagram of a first binary image acquisition process. Step S301 includes: step S501 and step S502. The first viewing angle image 31 is converted into a first gray scale image. Noise interference signals are inevitably introduced into the image input process by the first camera 11 and the second camera 12, any high-frequency interference signals of the image, particularly noise signals appearing at the worn edge part of the turning tool, have serious influence on the subsequent image processing effect, great errors occur in the tool wear detection result, and the final tool wear degree judgment is further influenced. In order to reduce the influence of noise on the tool wear detection system, the first perspective image 31 must be converted into a first gray scale image, i.e. after the image is grayed, it can be filtered and denoised. Step S502, binarization is performed on the filtered first gray level image to generate a first binary image. The binary image means that there are only two gray levels in the image, that is, the gray value of any pixel in the image is 0 or 255, which represents black and white respectively.

Fig. 9 is a schematic view of a second wear coefficient acquisition process. Referring to fig. 9, step S202 specifically includes step S401, step S402, and step S403. In step S401, image preprocessing is performed on the second perspective image 32 to obtain a second binary image corresponding to the second perspective image 32. In step S402, contour extraction is performed based on the second binary image to obtain a second calculated wear contour rectangle 322 corresponding to the second contour 321 of each wear part. In step S403, a second wear coefficient of each wear portion is obtained based on the area and the length of the second calculation outline rectangle of each wear portion. Referring to fig. 7 and 9, the second perspective image 32 shown in fig. 1 may be obtained by the second camera 12, the second perspective image 32 is subjected to image preprocessing and image binarization to obtain second outlines 321 of the first wearing part 14 and the second wearing part 15, and a second calculated outline rectangle is obtained from each of the second outlines 321, and fig. 7 is a combination of the second outlines 321 and the second perspective image 32. A second wear coefficient of each wear part can be obtained from a second calculated outline rectangle of the first wear part 14 and the second wear part 15, i.e., the product of the area and the length of the second calculated outline rectangle.

Fig. 10 is a schematic diagram of a second binary image acquisition flow. Step S401 includes: step S601 and step S602. In step S601, the second perspective image 32 is converted into a second gray scale image. Noise interference signals are inevitably introduced into the image input process by the first camera 11 and the second camera 12, any high-frequency interference signals of the image, particularly noise signals appearing at the worn edge part of the turning tool, have serious influence on the subsequent image processing effect, great errors occur in the tool wear detection result, and the final tool wear degree judgment is further influenced. In order to reduce the influence of noise on the tool wear detection system, the second perspective image 32 must be converted into a second gray scale image, which can be filtered and denoised after graying. Step S602, binarizes the filtered second grayscale image to generate a second binary image. The binary image means that there are only two gray levels in the image, that is, the gray value of any pixel in the image is 0 or 255, which represents black and white respectively.

Referring again to fig. 1 and 2, it can be obtained through the above steps that the replacement coefficient of the first wear portion 14 is 20, the replacement coefficient of the second wear portion 15 is 15, the replacement coefficient of the first wear portion 14 is compared with the replacement threshold value 19, and the replacement coefficient of the first wear portion 14 is already greater than the replacement threshold value, and then the replacement indicator corresponding to the test turning tool 12 is generated. In response to the replacement prompt, the test turning tool 12 is automatically replaced by an automatic replacement device.

In summary, the turning tool replacement method in the present invention can detect the wear part (pit) on the surface of the turning tool through multiple viewing angles, obtain the replacement coefficient corresponding to each wear part through the wear coefficient of each wear part at each viewing angle, and generate a replacement indicator corresponding to the tested turning tool when the maximum value of the multiple replacement coefficients is greater than the replacement threshold, so as to automatically replace the tested turning tool in response to the replacement indicator.

The foregoing is a more detailed description of the invention in connection with specific preferred embodiments and it is not intended that the invention be limited to these specific details. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.

Claims

1. A method for replacing a turning tool, comprising the steps of:

extracting at least one visual angle image of a test turning tool;

generating a replacement prompt corresponding to the test turning tool based on the fact that the maximum value of the replacement coefficient is larger than a replacement threshold;

the perspective images comprise a first perspective image and a second perspective image, wherein the first perspective image is obtained by a first image extraction device along a first direction, the second perspective image is obtained by a second image extraction device along a second direction, and the first direction are symmetrical about a base line which is perpendicular to the measured surface;

the obtaining a replacement coefficient for each wear portion of a measured surface of the test turning tool from the perspective image comprises:

obtaining the replacement coefficient corresponding to each of the worn portions from the first wear coefficient, a first viewing angle weight coefficient corresponding to the first wear coefficient, the second wear coefficient, and a second viewing angle weight coefficient corresponding to the second wear coefficient;

a ratio of the first view weight coefficient to a second view weight coefficient is equal to a ratio of a first depth value corresponding to the first view image and a second depth value corresponding based on the second view image.

2. The turning tool replacement method of claim 1, wherein the obtaining a first wear coefficient for each of the wear portions from the first perspective image comprises:

extracting contours according to the first binary image to obtain a first calculation contour rectangle corresponding to the first contour of each wear part;

3. The turning tool replacing method according to claim 1, wherein the obtaining of the second wear coefficient of each of the wear portions from the second perspective image comprises:

extracting the contour according to the second binary image to obtain a second calculation contour rectangle corresponding to the second contour of each wear part;

4. The turning tool replacement method of claim 1 wherein the first depth value is a maximum depth value of each of the wear portions in a first direction;

the second depth value is a maximum depth value of each of the worn portions in the second direction.

5. The turning tool replacement method of claim 2, wherein the first wear coefficient is the product of the area and the length of the first calculated outline rectangle.

6. The turning tool replacement method according to claim 2, wherein the image preprocessing the first perspective image to obtain a first binary image corresponding to the first perspective image comprises:

converting the first visual angle image into a first gray level image;

and carrying out binarization on the filtered first gray level image to generate a first binary image.

7. The turning tool replacement method according to claim 3, wherein the image preprocessing the second perspective image to obtain a second binary image corresponding to the second perspective image comprises:

converting the second perspective image into a second gray scale image;